The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Publication bias, the fact that studies identified for inclusion in a meta analysis do not represent all studies on the topic of interest, is commonly recognized as a threat to the validity of the results of a meta analysis. One way to explicitly model publication bias is via selection models or weighted probability distributions. In this package we provide implementations of several parametric and nonparametric weight functions. The novelty in Rufibach (2011) is the proposal of a non-increasing variant of the nonparametric weight function of Dear & Begg (1992). The new approach potentially offers more insight in the selection process than other methods, but is more flexible than parametric approaches. To maximize the log-likelihood function proposed by Dear & Begg (1992) under a monotonicity constraint we use a differential evolution algorithm proposed by Ardia et al (2010a, b) and implemented in Mullen et al (2009). In addition, we offer a method to compute a confidence interval for the overall effect size theta, adjusted for selection bias as well as a function that computes the simulation-based p-value to assess the null hypothesis of no selection as described in Rufibach (2011, Section 6).
Version: | 1.0.8 |
Depends: | DEoptim (≥ 2.0-6) |
Imports: | graphics, stats |
Published: | 2015-07-03 |
DOI: | 10.32614/CRAN.package.selectMeta |
Author: | Kaspar Rufibach |
Maintainer: | Kaspar Rufibach <kaspar.rufibach at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://www.kasparrufibach.ch |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | MetaAnalysis |
CRAN checks: | selectMeta results |
Reference manual: | selectMeta.pdf |
Package source: | selectMeta_1.0.8.tar.gz |
Windows binaries: | r-devel: selectMeta_1.0.8.zip, r-release: selectMeta_1.0.8.zip, r-oldrel: selectMeta_1.0.8.zip |
macOS binaries: | r-release (arm64): selectMeta_1.0.8.tgz, r-oldrel (arm64): selectMeta_1.0.8.tgz, r-release (x86_64): selectMeta_1.0.8.tgz, r-oldrel (x86_64): selectMeta_1.0.8.tgz |
Old sources: | selectMeta archive |
Please use the canonical form https://CRAN.R-project.org/package=selectMeta to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.